Mac mini (2024)
Geekbench AI Score
4816
Single Precision Score
37961
Half Precision Score
53180
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 01:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
17565
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
27810
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22304
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30629
496.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9897
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123198
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231266
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
19087
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26878
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
44886
533.3 IPS |
|
|
Face Detection (Q)
|
100% |
55475
659.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8720
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99593
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170194
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21438
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234481
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299606
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50600
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85844
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
7374
9.84 KIPS |
|
|
Text Classification (Q)
|
93% |
7619
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17251
297.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18472
319.2 IPS |
